Asahi Ito

1.9k citations
68 papers · 1.4k indexed · h-index 20

Impact in

  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

    • Multiple Myeloma Research and Treatments 14
    • T-cell and Retrovirus Studies 25
    • Immune Cell Function and Interaction 13

Asahi Ito

67 papers receiving 1.4k citations

Peers

Asahi Ito
Comparison fields: 5 of 74
  • Immunology 556
  • Hematology 253
  • Oncology 382
  • Biological Psychiatry 34
  • Agronomy and Crop Science 128
Replace Emanuela Ottaviani with:
Emanuela Ottaviani Italy
Seiichi Okabe Japan
Megan M. O’Meara United States
Sabine Cerny‐Reiterer Austria
Margarete Zaborski Germany
Keisuke Horikawa Australia
Lin Fu China
Jérôme Giustiniani France
Sonia Minuzzo Italy
Janet M.D. Plate United States
Asahi Ito relative to Emanuela Ottaviani Italy Emanuela Ottaviani's profile →
Citations per field
00.5×10×15×18.3×
Emanuela Ottaviani · 1×
Citations per year

Countries citing papers authored by Asahi Ito

Since Specialization
Citations

This map shows the geographic impact of Asahi Ito's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Asahi Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asahi Ito more than expected).

Fields of papers citing papers by Asahi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asahi Ito. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Asahi Ito. The network helps show where Asahi Ito may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Asahi Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Asahi Ito Line = papers co-authored together Asahi Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20227
3 202110
4 202112
5 20205
6 202011
7 202012
8 202020
9 202016
10 201920
11 20195
12 201910
13 201823
14 201818
15 201722
16 201542
17 200927
18
[Anti-CCR4 monoclonal antibody as a novel therapy for advanced mycosis fungoides and Sézary syndrome].
20091
19 200896
20 200835

About Asahi Ito

Asahi Ito is a scholar working on Hematology, Immunology, Agronomy and Crop Science, Biological Psychiatry and Ecology, Evolution, Behavior and Systematics, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (25 papers), Multiple Myeloma Research and Treatments (14 papers), Immune Cell Function and Interaction (13 papers), Vector-Borne Animal Diseases (13 papers), Protein Degradation and Inhibitors (9 papers), Animal Disease Management and Epidemiology (9 papers), Lymphoma Diagnosis and Treatment (9 papers) and Ubiquitin and proteasome pathways (8 papers). The work is most often cited by research in Immunology (556 citations), Hematology (253 citations), Oncology (382 citations), Biological Psychiatry (34 citations) and Agronomy and Crop Science (128 citations). Asahi Ito has collaborated with scholars based in Japan, Germany and Egypt. Frequent co-authors include Takashi Ishida, Shigeru Kusumoto, Shinsuke Iida, Ryuzo Ueda, Hirokazu Komatsu, Masaki Ri, Hiroshi Inagaki, Atsushi Inagaki, Fumiko Mori and Fumihiko Sato. Their work appears in journals such as Blood, International Journal of Hematology, Cancer Science, The Journal of Immunology and Blood Cancer Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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